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MohammadMehediHasan / repository
ML projects including Emotion Detection, Plant Disease Recognition, Clothing Classification, Predictive Maintenance, Autism Detection, and Taxi Fare Prediction. Implemented using Python, Jupyter Notebooks, TensorFlow, Keras, and Scikit-Learn, showcasing diverse applications and modeling skills.
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My uploaded files contain the following machine learning projects:
This repository contains various machine learning and pattern recognition projects showcasing practical applications of algorithms and models. Projects include Emotion Detection using Twitter text data, Plant Disease Recognition through image classification, and Clothing Item Classification utilizing pattern recognition techniques. Additionally, it features a Predictive Maintenance Classification project for machinery, a thesis on Autism Spectrum Disorder Detection, and a Taxi Fare Prediction model. Each project is implemented using Python, Jupyter Notebooks, and various ML libraries such as TensorFlow, Keras, and Scikit-Learn. The repository serves as a demonstration of hands-on skills in machine learning, data analysis, and predictive modeling.
Direct Access to Colab Projects: Google Drive Folder
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CatalystCode /
This repository contains machine learning related work for the corpus to graph project, including Jupyter research notebooks and a Flask webservice to host the model
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A Machine Learning project that predicts Total Sales, Sales Method, and Units Sold using Linear Regression, Decision Trees, and Random Forest. This project also demonstrates complete DevOps workflow using Git & GitHub — including branching, merging, stashing, and rebasing — with a clean project structure and Jupyter notebook-based analysis
63/100 healthsardarosama /
This repository contains a variety of machine learning projects that I have worked on. The projects in this repository cover a range of topics, including supervised and unsupervised learning, deep learning, and natural language processing. Each project includes a Jupyter Notebook with code and explanations, as well as separate file containing code
Bhanuagg1183 /
This repository contains a collection of machine learning projects. The projects cover various domains, including computer vision, healthcare, and e-commerce. The repository includes Jupyter Notebook files for each project, as well as a video and a PowerPoint presentation providing insights into the projects.
70/100 healthmajidhussain-ai /
A collection of hands-on Jupyter notebooks covering essential Python libraries for Data Science and Machine Learning — including NumPy, pandas, Matplotlib, Seaborn, Scikit-learn, PyTorch, and TensorFlow. Each notebook demonstrates core concepts, real-world examples, and practical use cases to build strong foundations for ML and AI projects.
43/100 healthmmk108 /
Jupyter Notebooks from Course (Including notes and projects)
42/100 health